MCP Demo App Server

What the MCP Demo App Solves

Managing e‑commerce data—products, orders, and their relationships—often requires a lightweight API that can be queried by AI assistants. The MCP Demo App fills this niche by providing a ready‑made, TypeScript‑based Express server that exposes both REST endpoints and MCP tools. Developers no longer need to build their own data layer from scratch; instead, they can focus on integrating the service into larger AI workflows.

Core Functionality and Value

At its heart, the server offers a RESTful API for product and order data stored in JSON files. It includes bearer‑token authentication, ensuring that only authorized clients can access the endpoints. The MCP layer augments this API with tool definitions—functions such as or . These tools let an AI assistant perform complex queries (e.g., fetch all orders for a specific product) without exposing raw HTTP routes. For developers, this means fewer boilerplate endpoints and more declarative tool usage in their AI agents.

Key Features Explained

• TypeScript safety: Strong typing reduces runtime errors and improves IDE support.
• Tool‑centric MCP integration: Each tool maps directly to a logical operation (product lookup, order listing), simplifying agent design.
• Bearer‑token authentication: Keeps data secure while remaining simple to configure.
• JSON persistence: Easy setup for prototyping; no external database required.
• Health endpoint: provides a quick status check for monitoring tools.

Real‑World Use Cases

• AI‑powered customer support: A virtual assistant can answer “What are the orders for product p1?” by invoking .
• Inventory management: An agent can scan for low‑stock items via and trigger restock workflows.
• Sales analytics: By combining with order data, an AI can generate revenue reports on the fly.
• Rapid prototyping: Start a new project with minimal infrastructure and later swap JSON storage for a real database without changing the MCP interface.

Integration Into AI Workflows

Developers embed the MCP server into their existing agent stacks by pointing the assistant’s MCP client to the tool definitions. Because the tools are language‑agnostic, any AI platform that supports MCP can call them directly—no need for custom adapters. The server’s authentication layer also allows agents to operate securely in multi‑tenant environments.

Standout Advantages

• Zero‑config data layer: JSON files mean no database migrations or schema definitions.
• TypeScript + MCP synergy: Developers benefit from compile‑time checks while the AI consumes a clean, declarative tool set.
• Extensibility: Adding new tools is as simple as creating a TypeScript function and registering it in .

In summary, the MCP Demo App delivers a fast, secure, and developer‑friendly bridge between e‑commerce data and AI assistants, enabling powerful, context‑aware interactions without the overhead of building a full‑blown backend from scratch.